Associate Data Scientist
Manulife
Quezon City, PH
1d ago

Job Description

This job description does not represent a comprehensive listing of job duties that are required of the employee performing this role.

We reserve the right to change duties or assign additional duties at any time with or without notice.

People Leader Role : No

Key Accountabilities :

Individual Accountabilities :

  • Actively participates on cross-functional project teams developing analytics enabled solutions
  • Owns and manages assigned tasks.
  • Works on problems of limited scope / complexity, following standard practices and procedures
  • Developing ability to generate relevant, actionable insights based on iterative data analysis, translate data-driven output into business language, and to make appropriate recommendations to respective business stakeholders
  • Provides analysis on datasets of moderate complexity
  • Communicates results of cases of limited complexity to more senior data scientists and business partners
  • Curious and asks questions to gain knowledge.
  • Shares information and provides rationale behind ideas
  • Builds stable working relationships with cross-functional peers, begins to establish a broader internal network
  • Owns their career development. Takes advantage of available resources to advance their technical and business skills.
  • Understands how their assigned tasks fit into the broader initiative
  • Job Requirements :

  • Minimum Bachelor’s degree in Statistics, Math, Computer Science, Engineering; or equivalent work experience, however, an advanced degree in a quantitative discipline would be preferred.
  • Basic Working knowledge of programming languages and concepts (e.g. SAS, SPSS, R, or Python)
  • Familiarity with basic statistical tests, distributions, maximum likelihood estimators, statistical modelling techniques (regression, cluster / factor / principle components, decision tree, survival analysis, etc.)
  • Basic understanding of different techniques and knowledge of machine learning algorithms. Basic knowledge of AI toolkits.
  • Basic knowledge of data visualization tools such as Tableau, QlikView, open source data visualization libraries - ggplot and d3.js
  • Basic knowledge of common database querying languages such as SQL. Capability of applying a systematic, structured approach to explore / navigate / mine massive amount of data, structured or un-structured, to uncover hidden patterns / insights.
  • Some working knowledge of relational database models (e.g. data vaulting techniques, rules tables).

    Decision Authorities :

  • Owns and manages assigned tasks.
  • Works on problems of limited scope / complexity, following standard practices and procedures
  • Provides analysis on datasets of moderate complexity
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